Zhou Du
1 indexed paper
Recent (6 mo)
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126
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Vision×1ML×1
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2026
Disentanglement-Based Equivariant Learning for Compositional VQA
The paper proposes a novel Disentanglement-based Equivariant Learning (DEAL) framework that enhances compositional VQA by disentangling concepts and enforcing equivariant constraints, achieving state-of-the-art results on benchmark datasets.
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